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dc.contributor.authorRen, Yin
dc.contributor.authorvon Maltzhan, Geoffrey
dc.contributor.authorAgrawal, Amit
dc.contributor.authorMesirov, Jill P.
dc.contributor.authorLo, Justin H.
dc.contributor.authorCheung, Hiu Wing
dc.contributor.authorCowley, Glenn S.
dc.contributor.authorWeir, Barbara A.
dc.contributor.authorBoehm, Jesse S.
dc.contributor.authorTamayo, Pablo
dc.contributor.authorKarst, Alison M.
dc.contributor.authorLiu, Joyce F.
dc.contributor.authorHirsch, Michelle S.
dc.contributor.authorDrapkin, Ronny
dc.contributor.authorRoot, David E.
dc.contributor.authorFogal, Valentina
dc.contributor.authorRuoslahti, Erkki
dc.contributor.authorHahn, William C.
dc.contributor.authorBhatia, Sangeeta N
dc.date.accessioned2014-04-11T15:15:20Z
dc.date.available2014-04-11T15:15:20Z
dc.date.issued2012-08
dc.date.submitted2012-01
dc.identifier.issn1946-6234
dc.identifier.issn1946-6242
dc.identifier.urihttp://hdl.handle.net/1721.1/86104
dc.description.abstractThe comprehensive characterization of a large number of cancer genomes will eventually lead to a compendium of genetic alterations in specific cancers. Unfortunately, the number and complexity of identified alterations complicate endeavors to identify biologically relevant mutations critical for tumor maintenance because many of these targets are not amenable to manipulation by small molecules or antibodies. RNA interference provides a direct way to study putative cancer targets; however, specific delivery of therapeutics to the tumor parenchyma remains an intractable problem. We describe a platform for the discovery and initial validation of cancer targets, composed of a systematic effort to identify amplified and essential genes in human cancer cell lines and tumors partnered with a novel modular delivery technology. We developed a tumor-penetrating nanocomplex (TPN) that comprised small interfering RNA (siRNA) complexed with a tandem tumor-penetrating and membrane-translocating peptide, which enabled the specific delivery of siRNA deep into the tumor parenchyma. We used TPN in vivo to evaluate inhibitor of DNA binding 4 (ID4) as a novel oncogene. Treatment of ovarian tumor–bearing mice with ID4-specific TPN suppressed growth of established tumors and significantly improved survival. These observations not only credential ID4 as an oncogene in 32% of high-grade ovarian cancers but also provide a framework for the identification, validation, and understanding of potential therapeutic cancer targets.en_US
dc.description.sponsorshipHoward Hughes Medical Instituteen_US
dc.description.sponsorshipNational Cancer Institute (U.S.) (Grant U54 CA119349)en_US
dc.description.sponsorshipNational Cancer Institute (U.S.) (Grant CA119335)en_US
dc.description.sponsorshipNational Cancer Institute (U.S.) (Grant R01 CA124427)en_US
dc.description.sponsorshipStarr Cancer Consortiumen_US
dc.description.sponsorshipMarie D. and Pierre Casimir-Lambert Funden_US
dc.description.sponsorshipNational Cancer Institute (U.S.) (Cancer Center Support Core Grant P30 CA14051)en_US
dc.language.isoen_US
dc.publisherAmerican Association for the Advancement of Science (AAAS)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1126/scitranslmed.3003778en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourcePMCen_US
dc.titleTargeted Tumor-Penetrating siRNA Nanocomplexes for Credentialing the Ovarian Cancer Target ID4en_US
dc.title.alternativeTargeted Tumor-Penetrating siRNA Nanocomplexes for Credentialing the Ovarian Cancer Oncogene ID4en_US
dc.typeArticleen_US
dc.identifier.citationRen, Y., H. W. Cheung, G. von Maltzhan, A. Agrawal, G. S. Cowley, B. A. Weir, J. S. Boehm, et al. “Targeted Tumor-Penetrating siRNA Nanocomplexes for Credentialing the Ovarian Cancer Oncogene ID4.” Science Translational Medicine 4, no. 147 (August 15, 2012): 147ra112–147ra112.en_US
dc.contributor.departmentWhitaker College of Health Sciences and Technologyen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.departmentKoch Institute for Integrative Cancer Research at MITen_US
dc.contributor.mitauthorRen, Yinen_US
dc.contributor.mitauthorvon Maltzhan, Geoffreyen_US
dc.contributor.mitauthorAgrawal, Amiten_US
dc.contributor.mitauthorMesirov, Jill P.en_US
dc.contributor.mitauthorLo, Justin H.en_US
dc.contributor.mitauthorBhatia, Sangeeta N.en_US
dc.relation.journalScience Translational Medicineen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsRen, Y.; Cheung, H. W.; von Maltzhan, G.; Agrawal, A.; Cowley, G. S.; Weir, B. A.; Boehm, J. S.; Tamayo, P.; Karst, A. M.; Liu, J. F.; Hirsch, M. S.; Mesirov, J. P.; Drapkin, R.; Root, D. E.; Lo, J.; Fogal, V.; Ruoslahti, E.; Hahn, W. C.; Bhatia, S. N.en_US
dc.identifier.orcidhttps://orcid.org/0000-0001-5981-2589
dc.identifier.orcidhttps://orcid.org/0000-0002-1293-2097
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


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